Development and validation of nomograms to predict survival of primary adrenal lymphoma: a population-based retrospective study
Abstract While it is known that accurate evaluation of overall survival (OS) and disease-specific survival (DSS) for patients with primary adrenal lymphoma (PAL) can affect their prognosis, no stable and effective prediction model exists. This study aimed to develop prediction models to evaluate sur...
| Main Authors: | , , , , , , , |
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| Format: | Article |
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Nature Portfolio
2023-09-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-41839-2 |
| _version_ | 1827711125733507072 |
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| author | Shiwei Sun Yue Wang Wei Yao Peng Yue Fuyu Guo Xiaoqian Deng Jiandong Zhang Yangang Zhang |
| author_facet | Shiwei Sun Yue Wang Wei Yao Peng Yue Fuyu Guo Xiaoqian Deng Jiandong Zhang Yangang Zhang |
| author_sort | Shiwei Sun |
| collection | DOAJ |
| description | Abstract While it is known that accurate evaluation of overall survival (OS) and disease-specific survival (DSS) for patients with primary adrenal lymphoma (PAL) can affect their prognosis, no stable and effective prediction model exists. This study aimed to develop prediction models to evaluate survival. This study enrolled 5448 patients with adrenal masses from the SEER Program. The influencing factors were selected using the least absolute shrinkage and selection operator regression model (LASSO) and Fine and Gray model (FGM). In addition, nomograms were constructed. Receiver operating characteristic curves and bootstrap self-sampling methods were used to verify the discrimination and consistency of the nomograms. The independent influencing factors for PAL survival were selected by LASSO and FGM, and three models were built: the OS, DSS, and FGS (DSS analysis by FGM) model. The areas under the curve and decision curve analyses indicated that the models were valid. This study developed survival prediction models to predict OS and DSS of patients with PAL. The FGS model was more accurate than the DSS model in the short term. Above all, these models should offer benefits to patients with PAL in terms of the treatment modality choice and survival evaluation. |
| first_indexed | 2024-03-10T17:50:21Z |
| format | Article |
| id | doaj.art-ea72b10af54a4357bc414a5a812f1cb1 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-10T17:50:21Z |
| publishDate | 2023-09-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-ea72b10af54a4357bc414a5a812f1cb12023-11-20T09:24:42ZengNature PortfolioScientific Reports2045-23222023-09-0113111210.1038/s41598-023-41839-2Development and validation of nomograms to predict survival of primary adrenal lymphoma: a population-based retrospective studyShiwei Sun0Yue Wang1Wei Yao2Peng Yue3Fuyu Guo4Xiaoqian Deng5Jiandong Zhang6Yangang Zhang7Third Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi HospitalThird Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi HospitalThird Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi HospitalThird Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi HospitalThird Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi HospitalThird Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi HospitalInstitute of Urology, Beijing Chaoyang Hospital, Capital Medical UniversityThird Hospital of Shanxi Medical University, Shanxi Bethune Hospital, Shanxi Academy of Medical Sciences, Tongji Shanxi HospitalAbstract While it is known that accurate evaluation of overall survival (OS) and disease-specific survival (DSS) for patients with primary adrenal lymphoma (PAL) can affect their prognosis, no stable and effective prediction model exists. This study aimed to develop prediction models to evaluate survival. This study enrolled 5448 patients with adrenal masses from the SEER Program. The influencing factors were selected using the least absolute shrinkage and selection operator regression model (LASSO) and Fine and Gray model (FGM). In addition, nomograms were constructed. Receiver operating characteristic curves and bootstrap self-sampling methods were used to verify the discrimination and consistency of the nomograms. The independent influencing factors for PAL survival were selected by LASSO and FGM, and three models were built: the OS, DSS, and FGS (DSS analysis by FGM) model. The areas under the curve and decision curve analyses indicated that the models were valid. This study developed survival prediction models to predict OS and DSS of patients with PAL. The FGS model was more accurate than the DSS model in the short term. Above all, these models should offer benefits to patients with PAL in terms of the treatment modality choice and survival evaluation.https://doi.org/10.1038/s41598-023-41839-2 |
| spellingShingle | Shiwei Sun Yue Wang Wei Yao Peng Yue Fuyu Guo Xiaoqian Deng Jiandong Zhang Yangang Zhang Development and validation of nomograms to predict survival of primary adrenal lymphoma: a population-based retrospective study Scientific Reports |
| title | Development and validation of nomograms to predict survival of primary adrenal lymphoma: a population-based retrospective study |
| title_full | Development and validation of nomograms to predict survival of primary adrenal lymphoma: a population-based retrospective study |
| title_fullStr | Development and validation of nomograms to predict survival of primary adrenal lymphoma: a population-based retrospective study |
| title_full_unstemmed | Development and validation of nomograms to predict survival of primary adrenal lymphoma: a population-based retrospective study |
| title_short | Development and validation of nomograms to predict survival of primary adrenal lymphoma: a population-based retrospective study |
| title_sort | development and validation of nomograms to predict survival of primary adrenal lymphoma a population based retrospective study |
| url | https://doi.org/10.1038/s41598-023-41839-2 |
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